Institute of Economic Ethics, Shanghai University of Finance and Economics, Shanghai 200433, China.
Shanghai University of Finance and Economics Zhejiang College, Zhejiang 321000, China.
Comput Intell Neurosci. 2022 Mar 18;2022:8925205. doi: 10.1155/2022/8925205. eCollection 2022.
It aims to improve the construction of ecological civilization and promote the common development of urban and ecology. Firstly, contemporary ecological ethics is explored, and its principles and characteristics are summarized. Then, the technique of convolutional neural network (CNN) image in a deep learning model is analyzed. Finally, deep convolutional neural networks (DCNN) are used to analyze and model the spatial characteristics of contemporary cities based on ecological ethics. According to the investigations, rural residential areas are more consistent with ecological ethics than urban residential areas when compared with the ecological characteristics of farmland and forest, and the highest ecological eigenvalues of the two areas are about 8 and 6. In the analysis of urban space, the maximum value of ecological eigenvalues of an airport is 9, and that of a stadium is 8. However, the scope of their construction that is consistent with ecological ethics is very small. Moreover, the eigenvalues of ecological ethics in the urban business circle of casinos are not only very low (the highest values are about 5 and 3), but also consistent with the construction norms of ecological ethics. The work of urban spatial philosophy is optimized based on the adoption of the DCNN model of deep learning in ecological ethics, which not only provides the reference for future ecological urban planning but also contributes to the common development of urban and ecology.
旨在提升生态文明建设水平，促进城市与生态协同发展。首先，探讨了当代生态伦理，总结了其原则和特征。然后，分析了深度学习模型中卷积神经网络（CNN）图像技术。最后，基于生态伦理，利用深度卷积神经网络（DCNN）分析和模拟当代城市的空间特征。调查结果表明，与农田和森林的生态特征相比，农村居民区比城市居民区更符合生态伦理，这两个区域的生态特征值最高分别约为 8 和 6。在城市空间分析中，机场的生态特征值最大值为 9，体育场的生态特征值最大值为 8。然而，与生态伦理建设规范相符的范围很小。此外，赌场城市商业圈的生态伦理特征值不仅非常低（最高值约为 5 和 3），而且符合生态伦理建设规范。通过采用生态伦理深度学习 DCNN 模型优化城市空间哲学工作，不仅为未来的生态城市规划提供了参考，也为城市和生态的共同发展做出了贡献。
